


"""simple docstring"""


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_xlnet import XLNetTokenizer
else:
    __lowerCamelCase   :int						     =		None


__lowerCamelCase   :Optional[Any]						     =		logging.get_logger(__name__)

__lowerCamelCase   :List[str]						     =		{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase   :List[str]						     =		{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json''',
    },
}

__lowerCamelCase   :Dict						     =		{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

__lowerCamelCase   :List[Any]						     =		'''▁'''

# Segments (not really needed)
__lowerCamelCase   :Tuple						     =		0
__lowerCamelCase   :Dict						     =		1
__lowerCamelCase   :Optional[int]						     =		2
__lowerCamelCase   :List[str]						     =		3
__lowerCamelCase   :int						     =		4


class       A__						(    __snake_case):


     """simple docstring"""
     snake_case__						:       Any				    =VOCAB_FILES_NAMES
     snake_case__						:       List[Any]				    =PRETRAINED_VOCAB_FILES_MAP
     snake_case__						:       List[Any]				    =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     snake_case__						:       List[Any]				    ="""left"""
     snake_case__						:       Optional[Any]				    =XLNetTokenizer

     def __init__(						self:    Dict  ,		__a:    int=None  ,		__a:    int=None  ,		__a:    str=False  ,		__a:    Optional[int]=True  ,		__a:    Optional[Any]=False  ,		__a:    Optional[int]="<s>"  ,		__a:    Union[str, Any]="</s>"  ,		__a:    Optional[Any]="<unk>"  ,		__a:    Any="<sep>"  ,		__a:    Tuple="<pad>"  ,		__a:    Optional[Any]="<cls>"  ,		__a:    Union[str, Any]="<mask>"  ,		__a:    List[str]=["<eop>", "<eod>"]  ,		**__a:    Union[str, Any]  ,		)->     int:
           # Mask token behave like a normal word, i.e. include the space before it
           lowerCamelCase       :       Optional[Any]   =						AddedToken(__SCREAMING_SNAKE_CASE  ,		lstrip=__SCREAMING_SNAKE_CASE  ,		rstrip=__SCREAMING_SNAKE_CASE						) if isinstance(__SCREAMING_SNAKE_CASE  ,		__SCREAMING_SNAKE_CASE						) else mask_token

           super().__init__(
               vocab_file=__SCREAMING_SNAKE_CASE  ,		tokenizer_file=__SCREAMING_SNAKE_CASE  ,		do_lower_case=__SCREAMING_SNAKE_CASE  ,		remove_space=__SCREAMING_SNAKE_CASE  ,		keep_accents=__SCREAMING_SNAKE_CASE  ,		bos_token=__SCREAMING_SNAKE_CASE  ,		eos_token=__SCREAMING_SNAKE_CASE  ,		unk_token=__SCREAMING_SNAKE_CASE  ,		sep_token=__SCREAMING_SNAKE_CASE  ,		pad_token=__SCREAMING_SNAKE_CASE  ,		cls_token=__SCREAMING_SNAKE_CASE  ,		mask_token=__SCREAMING_SNAKE_CASE  ,		additional_special_tokens=__SCREAMING_SNAKE_CASE  ,		**__SCREAMING_SNAKE_CASE  ,		)

           lowerCamelCase       :       List[Any]   =						3
           lowerCamelCase       :       List[Any]   =						do_lower_case
           lowerCamelCase       :       Any   =						remove_space
           lowerCamelCase       :       Any   =						keep_accents
           lowerCamelCase       :       int   =						vocab_file
           lowerCamelCase       :       str   =						False if not self.vocab_file else True

     def 		a__    (						self:    int  ,		__a:    List[int]  ,		__a:    Optional[List[int]] = None						)->     List[int]:
           lowerCamelCase       :       Tuple   =						[self.sep_token_id]
           lowerCamelCase       :       int   =						[self.cls_token_id]
           if token_ids_a is None:
                 return token_ids_a + sep + cls
           return token_ids_a + sep + token_ids_a + sep + cls

     def 		a__    (						self:    Tuple  ,		__a:    List[int]  ,		__a:    Optional[List[int]] = None						)->     List[int]:
           lowerCamelCase       :       Union[str, Any]   =						[self.sep_token_id]
           lowerCamelCase       :       Any   =						[2]

           if token_ids_a is None:
                 return len(token_ids_a + sep						) * [0] + cls_segment_id
           return len(token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1] + cls_segment_id







     def 		a__    (						self:    Any  ,		__a:    str  ,		__a:    Optional[str] = None						)->     Tuple[str]:
           if not self.can_save_slow_tokenizer:
                 raise ValueError(
                     """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                     """tokenizer."""						)

           if not os.path.isdir(__SCREAMING_SNAKE_CASE						):
                 logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
                 return
           lowerCamelCase       :       Any   =						os.path.join(
               __SCREAMING_SNAKE_CASE  ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

           if os.path.abspath(self.vocab_file						) != os.path.abspath(__SCREAMING_SNAKE_CASE						):
                 copyfile(self.vocab_file  ,		__SCREAMING_SNAKE_CASE						)

           return (out_vocab_file,)












"""simple docstring"""





from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest






@require_tokenizers
class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizer
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizerFast
    SCREAMING_SNAKE_CASE		:	int		=					True






    @slow
    def   UpperCamelCase			(			self	:				Optional[int]   )	->						int:
      lowerCamelCase_       	=		DistilBertTokenizer.from_pretrained('distilbert-base-uncased'   )

      lowerCamelCase_       	=		tokenizer.encode('sequence builders'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode('multi-sequence build'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
      assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
          tokenizer.sep_token_id
      ]




